Package: artma 0.5.0

artma: Automatic Replication Tools for Meta-Analysis

Provides a unified and straightforward interface for performing a variety of meta-analysis methods directly from user data. Users can input a data frame, specify key parameters, and effortlessly execute and compare multiple common meta-analytic models. Designed for immediate usability, the package facilitates transparent, reproducible research without manual implementation of each analytical method. Ideal for researchers aiming for efficiency and reproducibility, it streamlines workflows from data preparation to results interpretation.

Authors:Petr Čala [aut, cre], Matyáš Tvrz [ctb]

artma_0.5.0.tar.gz
artma_0.5.0.zip(r-4.7-x86_64)artma_0.5.0.zip(r-4.7-arm64)artma_0.5.0.zip(r-4.6-x86_64)artma_0.5.0.zip(r-4.6-arm64)artma_0.5.0.zip(r-4.5-x86_64)
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artma_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
artma/json (API)

# Install 'artma' in R:
install.packages('artma', repos = c('https://petrcala.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/petrcala/artma/issues

Pkgdown/docs site:https://petrcala.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

5.86 score 1 stars 7 scripts 546 downloads 64 exports 29 dependencies

Last updated from:17b73d1e68. Checks:12 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK261
source / vignettesOK267
linux-release-x86_64OK253
macos-release-arm64OK227
macos-release-x86_64OK457
macos-oldrel-x86_64OK504
windows-devel-arm64OK493
windows-devel-x86_64OK261
windows-release-arm64OK478
windows-release-x86_64OK280
windows-oldrel-x86_64OK237
wasm-releaseOK162

Exports:artmaautonomy_getautonomy_is_fullautonomy_is_setautonomy_setautonomy.getautonomy.is_fullautonomy.is_setautonomy.setcli_installcli_runcli.installcli.runconfig_fixconfig_getconfig_overridesconfig_resetconfig_setconfig.fixconfig.getconfig.overridesconfig.resetconfig.setdata_previewdata.previewmethods_listmethods.listoptions_copyoptions_createoptions_deleteoptions_diffoptions_fixoptions_helpoptions_listoptions_loadoptions_modifyoptions_openoptions_print_default_diroptions_removeoptions_validateoptions.copyoptions.createoptions.deleteoptions.diffoptions.fixoptions.helpoptions.listoptions.loadoptions.modifyoptions.openoptions.print_default_diroptions.validatereport_renderreport.renderresults_dirresults_openresults.dirresults.openviz_getviz_setviz_themesviz.getviz.setviz.themes

Dependencies:boxcachemcliclimenucpp11farverfastmapggplot2gluegtableisobandkeypresslabelinglatticelifecyclelmtestmemoiseR6RColorBrewerRcpprlangS7sandwichscalesvctrsviridisLitewithryamlzoo

Understanding Options Files in artma
Introduction | What Are Options Files? | Key Benefits | File Format | Options File Structure | 1. general | 2. data | 3. calc | 4. methods | effect_summary_stats | linear_tests | nonlinear_tests | exogeneity_tests | bma (Bayesian Model Averaging) | p_hacking_tests | maive | 5. output | 6. cli | 7. verbose | 8. cache | 9. temp | Creating Options Files | Interactive Creation | Naming Your Options File | Programmatic Creation | Loading and Using Options Files | Loading Options | How Options Are Accessed | Important: Temporary Loading | Best Practices | One Dataset Per Options File | Organizing Multiple Options Files | Version Control | Validation | Examples | Minimal Options File | Advanced Options File | Inspecting Options | Browsing the Option Tree | Comparing Options Files | Managing Options Files | Listing Options Files | Copying Options Files | Modifying Options Files | Opening Options Files | Fixing Options Files | Troubleshooting | Common Issues | Summary
Rendered fromoptions-files.Rmdusingknitr::rmarkdown

Last update: 2026-09-04
Started: 2026-01-23

Methods Overview
Introduction | How methods execute | Descriptive and exploratory methods | Publication-bias diagnostics | Moderator and heterogeneity analysis | Choosing methods
Rendered frommethods-overview.Rmdusingknitr::rmarkdown

Last update: 2026-09-04
Started: 2026-07-21

Getting Started with artma
Introduction | Quick Start: Your First Analysis | Understanding the Core Concepts | 1. The artma() Function | 2. Options Files | 3. Methods | Common Workflows | Workflow 1: Interactive Analysis (Recommended for Beginners) | Workflow 2: Using an Existing Options File | Workflow 3: Programmatic Analysis | Workflow 4: Using Data Already in R | Understanding Results | What a Run Leaves on Disk | Choosing Methods | Discovering Available Methods | Selecting Methods | Method Execution Order | Working with Options Files | Creating Options Files | Managing Options Files | Data Requirements | Required Columns | Column Mapping | Supported Data Formats | Data Preprocessing | Tips for Success | 1. Start Simple | 2. Use Descriptive Options File Names | 3. Save Your Options Files | 4. Check Verbosity | 5. Validate Before Running | Getting Help | Documentation | Verbosity Levels | Validation | Next Steps
Rendered fromgetting-started.Rmdusingknitr::rmarkdown

Last update: 2026-08-28
Started: 2026-01-27

Release Cycle for artma
Introduction | Pull request-based workflow | Example contributor flow | Version tagging and release | Version increment labels | Skipping CRAN or submitting automatically | Summary
Rendered fromrelease-cycle.Rmdusingknitr::rmarkdown

Last update: 2025-04-10
Started: 2025-04-10